Design of CVT-Based Hybrid Passenger Cars

Hofman, Théo; Steinbuch, M Maarten; Druten, R. van; Serrarens, A.F.A.

doi:10.1109/tvt.2008.926217

Cited by 40 publications

(14 citation statements)

References 20 publications

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“…A mild hybrid powertrain system for a passenger car is chosen for this study, in which the diesel engine is of 1.3lits, maximum torque of 200Nm, maximum power of 68kW; the electric machine is of maximum power of 6kW, see [2]; battery system is of 6Ah, 110V.…”

Section: Simualtion Results and Discussionmentioning

confidence: 99%

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An optimal control-based algorithm for Hybrid Electric Vehicle using preview route information

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Hofman

Steinbuch

et al. 2010

Proceedings of the 2010 American Control Conference

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Control strategies for Hybrid Electric Vehicles (HEVs) are generally aimed at optimally choosing the power distribution between the internal combustion engine and the electric motor in order to minimize the fuel consumption and/or emissions. Using vehicle navigation systems in combination with Global Positioning Systems and Geographical Information Systems allow further optimization of the power distribution by utilizing the route information. In this paper, a new control algorithm based on a combination of dynamic programming and classical optimal control theory is proposed for the Energy Management System in parallel HEVs to improve the fuel economy over a preview route segment. The proposed algorithm optimizes not only the gear position and the engine power yet also the vehicle velocity. The vehicle is controlled to complete this route segment in a predefined time length. Using this method more than 11% fuel saving is computed on an optimized cycle compared to a standard city cycle with equal time length and average speed.

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Section: Simualtion Results and Discussionmentioning

confidence: 99%

“…With aiming at deriving an EMS for such a HEV, the static models [1][2][3] of the powertrain components are chosen whose dynamics faster than 1 Hz are ignored.Hence, a discretized model with time step of one second for this vehicle is chosen.…”

Section: A Vehicle Modelingmentioning

confidence: 99%

An optimal control-based algorithm for Hybrid Electric Vehicle using preview route information

Ngo

Hofman

Steinbuch

et al. 2010

Proceedings of the 2010 American Control Conference

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“…A look-up table is used to get the CVT efficiency by knowing the values for the both parameters (Hofman et al, 2009).…”

Section: Parallel Flywheel Hybrid Powertrainmentioning

confidence: 99%

Matlab-based modeling, simulation and design package for Eletric, Hydraulic and Flywheel hybrid powertrains of a city bus

Esfahanian

Safaei

Nehzati

et al. 2014

Int.J Automot. Technol.

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In this paper a package for designing, modelling and simulation of three hybrid powertrains are presented. These powertrains are Electric hybrid, Hydraulic hybrid and Flywheel hybrid. The differences among the proposed hybrid powertrains include the energy storage system components, the secondary power converter and also the powertrain configuration. The O457 city bus is considered as the benchmark vehicle. At first, the design process for each hybrid powertrain which is based on the power requirements of the bus in any driving condition is presented. Then, the powertrains modelling using MATLAB/Simulink as a powerful simulating tool is presented. The models are feed-forward and resemble the real world driving conditions. Each model has the blocks for the main components of the corresponding propulsion system. The most important stage in the modeling process is implementing of the components efficiency in each powertrain. Moreover, there is a block in each hybrid powertrain model for the energy management. Finally, the simulation results for comparing the usefulness of the hybrid powertrains are presented. The results indicate that the electric hybrid powertrain has the most effect on reducing the bus fuel consumption. But regarding the fabrication expenses and manufacturing complexity, the hydraulic hybrid powertrain is recommended. KEY WORDS : Series electric hybrid city bus, Parallel flywheel hybrid city bus, Parallel hydraulic hybrid city bus, Powertrain design and modeling NOMENCLATURE P EM : electric motor power (W) P E /G : engine/generator power (W) P Batt : battery pack power (W) P demand : driver's demand power (W) δ : mass factor M v : vehicle mass (kg) t a : accelerating time (s) V : vehicle speed (m/s) V b : vehicle speed corresponding to electric motor's base speed (m/s) V f : final acceleration speed (m/s) g : gravitational acceleration (m/s 2 ) f r : rolling resistance coefficient ρ α : air density (kg/m 3 ) C D : aerodynamic drag coefficient A f : vehicle frontal area (m 2 ) i : grade percentage (%) T : total cycle time (s) η t : efficiency of the mechanical transmission η EM : efficiency of the electric motor V Batt : battery pack voltage (V) I Batt : battery pack amperage (A) t PEM : pure electric mode duration (hr) I : battery output current (A) Q Batt : energy capacity of the battery pack (Ah) η v : volumetric efficiency of the hydraulic P/M η : total efficiency of the hydraulic pump/motor η mh : hydro-mechanical efficiency of the hydraulic P/M qv : hydraulic flow of hydraulic P/M (m3/s) n : rotational speed of hydraulic P/M (rpm) δ p: pressure difference between input and output port of the hydraulic P/M T pump : torque of hydraulic P/M in pumping mode (Nm) T motor : torque of hydraulic P/M in motoring mode (Nm) v g : displacement of hydraulic P/M (cm3/rev) G SP : gear ratio of simple gear p : hydraulic pressure (bars) v : gas Volume in accumulator (m3) R_int : battery internal resistance I_bat : battery current P_bat : battery power *

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“…The electrical machine and the diesel generator efficiencies depend on torque and speed whereas the battery efficiency depends on voltage and current for a given output power. However, the effects of the component sizing on fuel consumption can be investigated using this kind of reduced models with sufficient accuracy, as demonstrated in [25].…”

Section: Vehicle Mission Impact On Energy Consumptionmentioning

confidence: 99%

Simulation of Real-World Vehicle Missions Using a Stochastic Markov Model for Optimal Powertrain Sizing

Souffran

Miègeville

Guérin

2012

IEEE Trans. Veh. Technol.

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Growing concerns about petroleum supplies and air pollution have spurred increased interest and research into hybrid electric vehicles (HEVs). While standard driving cycles are commonly used for the purpose of propulsion chain optimization, the issue of how representative they actually are is questioned. This paper proposes a novel methodology for modeling real-world vehicle missions by considering the stochastic characteristics of the driving pattern and the dependence among the variables of the mission, i.e., vehicle speed, acceleration, and road gradient. The modeling procedure is based on a Markov matrix formulation, and a simulation algorithm is implemented to generate an unlimited number of stochastic mission profiles. Two kinds of mission natures have been modeled and discussed so as to stress the mission impact on the energy consumption according to the propulsion chain sizing. The approach is then validated using the architecture of a series HEV powered by a diesel generator and batteries. The results on fuel consumption are presented, and the benefit of the proposed method over conventional approaches is argued.Index Terms-Automotive applications, battery, diesel engine, drive cycle, fuel consumption, hybrid electric vehicle (HEV), Markov processes, power system modeling, power system simulation, sizing, stochastic systems.

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Design of CVT-Based Hybrid Passenger Cars

Cited by 40 publications

References 20 publications

An optimal control-based algorithm for Hybrid Electric Vehicle using preview route information

An optimal control-based algorithm for Hybrid Electric Vehicle using preview route information

Matlab-based modeling, simulation and design package for Eletric, Hydraulic and Flywheel hybrid powertrains of a city bus

Simulation of Real-World Vehicle Missions Using a Stochastic Markov Model for Optimal Powertrain Sizing

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